By Abraham Silberschatz, Henry F. Korth, S. Sudarshan
The Fourth version of Database process recommendations has been largely revised from the third version. the hot version presents more advantageous insurance of options, huge assurance of latest instruments and strategies, and up-to-date assurance of database procedure internals. this article is meant for a primary path in databases on the junior or senior undergraduate, or first-year graduate point. Database procedure techniques, 4th ed. bargains an entire history within the fundamentals of database layout, languages, and approach implementations. strategies are offered utilizing intuitive descriptions, and significant theoretical effects are coated, yet formal proofs are passed over. the elemental recommendations and algorithms coated in Database approach innovations 4th ed. are according to these utilized in present advertisement or experimental database platforms. The authors current those ideas and algorithms in a common atmosphere that's not tied to at least one specific database system.
This textual content is meant for a primary direction in databases on the junior or senior undergraduate, or first-year graduate point. Database method recommendations, 4th ed. deals a whole history within the fundamentals of database layout, languages, and process implementations. techniques are provided utilizing intuitive descriptions, and significant theoretical effects are lined, yet formal proofs are passed over. the basic recommendations and algorithms lined in Database method thoughts 4th ed. are in accordance with these utilized in current advertisement or experimental database structures. The authors' goal is to give those recommendations and algorithms in a common atmosphere that's not tied to 1 specific database process. The fourth version has been widely revised and gives better assurance of ideas, vast assurance of latest instruments and strategies used largely within the new new release of database platforms, with specific emphasis on internet purposes.
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Extra resources for Database Systems Concepts
We can derive the value for this attribute by counting the number of loan entities associated with that customer. As another example, suppose that the customer entity set has an attribute age, which indicates the customer’s age. If the customer entity set also has an attribute date-of-birth, we can calculate age from date-of-birth and the current date. Thus, age is a derived attribute. In this case, date-of-birth may be referred to as a base attribute, or a stored attribute. The value of a derived attribute is not stored, but is computed when required.
For one-to-one relationships either primary key can be used. For nonbinary relationships, if no cardinality constraints are present then the superkey formed as described earlier in this section is the only candidate key, and it is chosen as the primary key. The choice of the primary key is more complicated if cardinality constraints are present. Since we have not discussed how to specify cardinality constraints on nonbinary relations, we do not discuss this issue further in this chapter. 3. 4 Design Issues The notions of an entity set and a relationship set are not precise, and it is possible to deﬁne a set of entities and the relationships among them in a number of different ways.
An entity may be concrete, such as a person or a book, or it may be abstract, such as a loan, or a holiday, or a concept. An entity set is a set of entities of the same type that share the same properties, or attributes. The set of all persons who are customers at a given bank, for example, can be deﬁned as the entity set customer. Similarly, the entity set loan might represent the 27 Silberschatz−Korth−Sudarshan: Database System Concepts, Fourth Edition 28 Chapter 2 I. Data Models 2. Entity−Relationship Model © The McGraw−Hill Companies, 2001 Entity-Relationship Model set of all loans awarded by a particular bank.
Database Systems Concepts by Abraham Silberschatz, Henry F. Korth, S. Sudarshan